These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

283 related articles for article (PubMed ID: 38768396)

  • 1. Spatially Resolved Single-Cell Omics: Methods, Challenges, and Future Perspectives.
    Dezem FS; Arjumand W; DuBose H; Morosini NS; Plummer J
    Annu Rev Biomed Data Sci; 2024 Aug; 7(1):131-153. PubMed ID: 38768396
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Multiview learning for understanding functional multiomics.
    Nguyen ND; Wang D
    PLoS Comput Biol; 2020 Apr; 16(4):e1007677. PubMed ID: 32240163
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Computational solutions for spatial transcriptomics.
    Kleino I; Frolovaitė P; Suomi T; Elo LL
    Comput Struct Biotechnol J; 2022; 20():4870-4884. PubMed ID: 36147664
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Placing RNA in context and space - methods for spatially resolved transcriptomics.
    Strell C; Hilscher MM; Laxman N; Svedlund J; Wu C; Yokota C; Nilsson M
    FEBS J; 2019 Apr; 286(8):1468-1481. PubMed ID: 29542254
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Multi-omics integration for both single-cell and spatially resolved data based on dual-path graph attention auto-encoder.
    Lv T; Zhang Y; Liu J; Kang Q; Liu L
    Brief Bioinform; 2024 Jul; 25(5):. PubMed ID: 39293805
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Spatial multi-omics: novel tools to study the complexity of cardiovascular diseases.
    Kiessling P; Kuppe C
    Genome Med; 2024 Jan; 16(1):14. PubMed ID: 38238823
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Single-cell sequencing techniques from individual to multiomics analyses.
    Kashima Y; Sakamoto Y; Kaneko K; Seki M; Suzuki Y; Suzuki A
    Exp Mol Med; 2020 Sep; 52(9):1419-1427. PubMed ID: 32929221
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Machine learning: its challenges and opportunities in plant system biology.
    Hesami M; Alizadeh M; Jones AMP; Torkamaneh D
    Appl Microbiol Biotechnol; 2022 May; 106(9-10):3507-3530. PubMed ID: 35575915
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Next-generation technologies for multiomics approaches including interactome sequencing.
    Ohashi H; Hasegawa M; Wakimoto K; Miyamoto-Sato E
    Biomed Res Int; 2015; 2015():104209. PubMed ID: 25649523
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Machine learning meets omics: applications and perspectives.
    Li R; Li L; Xu Y; Yang J
    Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34791021
    [TBL] [Abstract][Full Text] [Related]  

  • 11. GraphCompass: spatial metrics for differential analyses of cell organization across conditions.
    Ali M; Kuijs M; Hediyeh-Zadeh S; Treis T; Hrovatin K; Palla G; Schaar AC; Theis FJ
    Bioinformatics; 2024 Jun; 40(Suppl 1):i548-i557. PubMed ID: 38940138
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Single-cell omics: Overview, analysis, and application in biomedical science.
    Stein CM; Weiskirchen R; Damm F; Strzelecka PM
    J Cell Biochem; 2021 Nov; 122(11):1571-1578. PubMed ID: 34459502
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Deciphering spatial domains from spatial multi-omics with SpatialGlue.
    Long Y; Ang KS; Sethi R; Liao S; Heng Y; van Olst L; Ye S; Zhong C; Xu H; Zhang D; Kwok I; Husna N; Jian M; Ng LG; Chen A; Gascoigne NRJ; Gate D; Fan R; Xu X; Chen J
    Nat Methods; 2024 Sep; 21(9):1658-1667. PubMed ID: 38907114
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Single-cell transcriptomics in cancer: computational challenges and opportunities.
    Fan J; Slowikowski K; Zhang F
    Exp Mol Med; 2020 Sep; 52(9):1452-1465. PubMed ID: 32929226
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Bioinformatics approach to spatially resolved transcriptomics.
    Krešimir Lukić I
    Emerg Top Life Sci; 2021 Nov; 5(5):669-674. PubMed ID: 34369559
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Characterizing spatial gene expression heterogeneity in spatially resolved single-cell transcriptomic data with nonuniform cellular densities.
    Miller BF; Bambah-Mukku D; Dulac C; Zhuang X; Fan J
    Genome Res; 2021 Oct; 31(10):1843-1855. PubMed ID: 34035045
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Single-cell transcriptomics: background, technologies, applications, and challenges.
    Duhan L; Kumari D; Naime M; Parmar VS; Chhillar AK; Dangi M; Pasrija R
    Mol Biol Rep; 2024 Apr; 51(1):600. PubMed ID: 38689046
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Multi-Omics Model Applied to Cancer Genetics.
    Pettini F; Visibelli A; Cicaloni V; Iovinelli D; Spiga O
    Int J Mol Sci; 2021 May; 22(11):. PubMed ID: 34072237
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Integrated multi-omics with machine learning to uncover the intricacies of kidney disease.
    Liu X; Shi J; Jiao Y; An J; Tian J; Yang Y; Zhuo L
    Brief Bioinform; 2024 Jul; 25(5):. PubMed ID: 39082652
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Mapping Cellular Coordinates through Advances in Spatial Transcriptomics Technology.
    Teves JM; Won KJ
    Mol Cells; 2020 Jul; 43(7):591-599. PubMed ID: 32507771
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.